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Intelligent Lighting System of Urban Road Based on Internet of Things. L&E 26 (4) 2018

Light & Engineering 26 (4)

Volume 26
Date of publication 12/20/2018
Pages 150–156

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Intelligent Lighting System of Urban Road Based on Internet of Things. L&E 26 (4) 2018
Articles authors:
Lulu HAO, Jing GAO

Lulu HAO, Ph.D. in Economics, Lecturer. Graduated from Wuhan University of Technology. The research area is industrial economics and Internet of Things

Jing GAO, Professor. Graduated from the Central China Normal University. The research area is tourism economy and smart tourism

Abstract:
Aiming to solve the problems of energy waste, management confusion and poor flexibility in urban road lighting control system, an intelligent lighting system of urban road was designed based on the internet of things technology. The intelligent lighting system included hardware system composed of street lamp control terminal, main controller, software platform server, and software system composed of communication interface software, data processing software and operation management software. The lighting energy­saving control strategy and system characteristics were analyzed. The results show that the intelligent lighting system of urban road can realize the functions of remote street lamp switch, power regulation and timing operation, so as to meet the realistic demand of urban road intellectualized lighting control.
References:
1. Barba, C. T., Mateos, M. A., Soto, P. R., et al. Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights. 2012 IEEE Intelligent Vehicles Symposium. 2012. pp.902–907.
2. Asadi, B., Vahidi, A. Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time. IEEE Transactions on Control Systems Technology, 2011. V19, #3, pp. 707–714.
3. Jianwei, G., Yanhua, J., Guangming, X., et al. The recognition and tracking of traffic lights based on color segmentation and CAMSHIFT for intelligent vehicles. 2010 IEEE Intelligent Vehicles Symposium, 2010. pp. 431–435.
4. Vigneshwaran, R., Venkatesan, K., Vinoth, A., et al. Density Based Intelligent Traffic Light Control System Using High Range IR Sensors. Artificial Intelligent Systems & Machine Learning, 2014. V6, #3, pp. 121–123.
5. Yousef, K. M., Al­Karaki, M. N., Shatnawi, A.M. Intelligent Traffic Light Flow Control System Using Wireless Sensors Networks. Journal of Information Science & Engineering, 2010. V26, #3, pp.753–768.
6. Yong, G.; Chunli, J.; Dongyao, Z., et al. Design and implementation of green intelligent lights based on the ZigBee. 2012 International Conference on Graphic and Image Processing, 2013. pp. 876852.
7. Yufeng, S., Mingyu, G., Yu, Z. Application of GSM Technology to the Remote Street lamp Monitoring and Control System. Electrotechnical Journal, 2004. #12, pp.89–92.
8. Xiaosheng, L., Fangde, L., Jiajin, Q., et al. The Distributed Architectural Design of Street Lamp Controlling System. Power Electronics, 2007. V41, #10, pp.18–21.
9. Xinjian, X. Research on the intelligent controlling system for street lamp of town. Chinese Journal of Scientific Instrument, 2006. V27, #z3, pp.2006–2008.
10. Chaoqun, X., Mingyu, G. Application of Low­voltage Power Line Communication in a City Street Lamp Long­distance Intelligent Monitoring System. Telecommunication Engineering, 2006. V46, #6, pp. 145–149.
11. Fanyu, K., Jianbo, C., Tongyuan, Z., et al. Smart Lighting Information System Design Based on Above and Below Ground Data. China Illuminating Engineering Journal, 2015. V26, #5, pp. 14–18.
12. Conti, J.P. The Internet of things. Communications Engineer, 2006. V4, #6, pp.20–25.
13. Aguado, S., Velazquez, J., Samper, D., et al. Modelling of Computer­Assisted Machine Tool Volumetric Verification Process. International Journal of Simulation Modelling, 2016, V15, #3, pp. 497–510.
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